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Alzheimer's Disease rs11767557 Variant Regulates EPHA1 Gene Expression Specifically in Human Whole Blood

  • Guiyou Liu
  • , Yan Zhang
  • , Longcai Wang
  • , Jianyong Xu
  • , Xiaoyun Chen
  • , Yunjuan Bao
  • , Yang Hu
  • , Shuilin Jin
  • , Rui Tian
  • , Weiyang Bai
  • , Wenyang Zhou
  • , Tao Wang
  • , Zhifa Han
  • , Jian Zong
  • , Qinghua Jiang*
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • Weifang Medical University
  • CAS - Tianjin Institute of Industrial Biotechnology

Research output: Contribution to journalArticlepeer-review

Abstract

Large-scale genome-wide association studies have reported EPHA1 rs11767557 variant to be associated with Alzheimer's disease (AD) risk in the European population. However, it is still unclear how this variant functionally contributes to the underlying disease pathogenesis. The rs11767557 variant is located approximately 3VeryThinSpace;kb upstream of EPHA1 gene. We think that rs11767557 may modify the expression of nearby genes such as EPHA1 and further cause AD risk. Until now, the potential association between rs11767557 and the expression of nearby genes has not been reported in previous studies. Here, we evaluate the potential expression association between rs11767557 and EPHA1 using multiple large-scale eQTLs datasets in human brain tissues and the whole blood. The results show that rs11767557 variant could significantly regulate EPHA1 gene expression specifically in human whole blood. These findings may further provide important supplementary information about the regulating mechanisms of rs11767557 variant in AD risk.

Original languageEnglish
Pages (from-to)1077-1088
Number of pages12
JournalJournal of Alzheimer's Disease
Volume61
Issue number3
DOIs
StatePublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alzheimer's disease
  • EPHA1
  • eQTLs
  • genome-wide association study

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